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A task-efficient sink node based on embedded multi-core SoC for Internet of Things

机译:基于嵌入式多核SoC的高效​​任务接收器节点,用于物联网

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With the increase of collected information, the computing performance of single-core sink node for Internet of Things (IoTs) cannot satisfy with the demand of large data processing any more. Therefore, the sink node which based on embedded multi-core SoC for IoTs and maximizing its computing performance has brought into focus in recent years. In this paper, we design a multi-core Task-Efficient Sink Node (TESN) based on heterogeneous architecture and the Weighted-Least Connection (WLC) task schedule strategy has been proposed to improve its efficiency. There are two types of cores in the sink node, master core and slave cores. The master core deals with tasks allocation and the seven slave cores deal with data processing. All of the cores are communicating with each other through mailbox. By considering each core’s real-time processing information and computing performance, the proposed WLC can balance each core’s load and reduce network congestion. TheXilinxV5platform is used to evaluate the performance of WLC and Round-Robin (RR) algorithms for multi-core sink node. The experiment results show that the WLC strategy improves the processing speed obviously, achieves load balance and avoids large scale congestion of sink node in the sensor networks of IoTs.
机译:随着收集信息的增加,物联网(IoT)的单核宿节点的计算性能已无法满足大数据处理的需求。因此,近年来,基于用于物联网的嵌入式多核SoC并最大化其计算性能的接收器节点已成为关注焦点。在本文中,我们基于异构体系结构设计了一个多核任务高效宿节点(TESN),并提出了加权最小连接(WLC)任务调度策略以提高其效率。接收器节点中有两种核心,主核心和从属核心。主内核负责任务分配,七个从内核负责数据处理。所有内核都通过邮箱相互通信。通过考虑每个核心的实时处理信息和计算性能,建议的WLC可以平衡每个核心的负载并减少网络拥塞。 XilinxV5平台用于评估多核接收器节点的WLC和循环(RR)算法的性能。实验结果表明,WLC策略明显提高了处理速度,实现了负载均衡,避免了物联网传感器网络中汇聚节点的大规模拥塞。

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